[Photon-Electronic Fusion Chips Expected to Reduce Token Costs by 50%: Domestic Computing Power Clusters May Be Key to Cost Reduction] Jinshi Data, July 19 – Currently, as AI agents are being deeply applied across various industries, the demand for Token calls has been growing rapidly. How to further reduce computing power costs in the future has become a focal point for all parties. Industry insiders have revealed that they are coordinating the use of multiple mainstream large models through computing power platforms to comprehensively lower token costs. At the same time, efforts are being accelerated nationwide to build large-scale computing power clusters. Ultra-large-scale computing power clusters supported by domestic computing chips are regarded by the industry as the key to the next step in cost reduction. Furthermore, in the next three to five years, the implementation of cutting-edge technologies such as optical chips is also expected to become another avenue for reducing computing power costs. 'Compared to electronic chips, the core advantage of photon-electronic fusion chips lies in their lower computational latency and reduced power consumption. The cost per unit Token could decrease by 50%, or even more.'